Background

Hetnets: Hetnets, also
calledheterogeneous
information networks, are graphs with multiple node and edge types.
Hetnets are both multipartite and multirelational. They provide a
scalable, intuitive, and frictionless structure for data integration.

Purpose: This package provides data structures for hetnets and
algorithms for edge prediction. It only
supports hetnets, which is its primary advantage compared to other
network software. Node/edge attributes and edge directionality are
supported.

Impetus: Development originated with a
study to predict
disease-associated genes and continues with a successive
study to repurpose drugs.

Caution: Documentation is currently lacking, testing coverage is
poor, and the API is unstable. Contributions are welcome. Please use
GitHub Issues for
feedback, questions, or troubleshooting.

Installation

Please use Python 3.4 or higher. To install the current PyPI version
(recommended), run:

pip install hetio

For the latest GitHub version, run:

pip install git+https://github.com/dhimmel/hetio.git#egg=hetio

For development, clone or download-and-extract the repository. Then run
pip install -e . from the repository’s root directory. The -e
flag specifies
editable
mode, so updating the source updates your installation.

Once installed, tests can be executed by running py.test test/ from
the repository’s root directory.

Design

A Graph object stores a heterogeneous network and relies on the
following classes: